David Robben
Impact in
- Radiation top 10%
- Advanced Radiotherapy Techniques
- Health Informatics top 10%
Papers in
- Epidemiology 11
- Acute Ischemic Stroke Management 11
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- Radiomics and Machine Learning in Medical Imaging 4
- Advanced MRI Techniques and Applications 3
- Co-authors
- Frederik Maes (13 shared papers)Paul Suetens (14 shared papers)Wouter Crijns (4 shared papers)Siri Willems (3 shared papers)Sandra Nuyts (3 shared papers)Julie van der Veen (3 shared papers)Stefan Sunaert (6 shared papers)Jeroen Bertels (4 shared papers)
- Journals
- Stroke (3 papers)Medical Image Analysis (3 papers)PLoS ONE (2 papers)Lecture notes in computer science (10 papers)Epilepsia (1 paper)
- Partner nations
- BelgiumSwitzerlandUnited States
In The Last Decade
David Robben
26 papers receiving 518 citations
Peers
Comparison fields: 5 of 61
- Radiation 87
- Health Informatics 13
- Radiology, Nuclear Medicine and Imaging 161
- Neurology 47
- Epidemiology 164
Countries citing papers authored by David Robben
This map shows the geographic impact of David Robben's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by David Robben with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Robben more than expected).
Fields of papers citing papers by David Robben
This network shows the impact of papers produced by David Robben. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by David Robben. The network helps show where David Robben may publish in the future.
Co-authors
The 25 scholars most cited alongside David Robben, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 80 | |
| 2 | 2019 | 66 | |
| 3 | 2021 | 58 | |
| 4 | 2016 | 50 | |
| 5 | 2020 | 47 | |
| 6 | 2020 | 37 | |
| 7 | 2021 | 25 | |
| 8 | 2014 | 19 | |
| 9 | 2018 | 16 | |
| 10 | 2020 | 15 | |
| 11 | 2019 | 15 | |
| 12 | 2019 | 13 | |
| 13 | 2014 | 11 | |
| 14 | 2019 | 11 | |
| 15 | 2013 | 9 | |
| 16 | 2016 | 9 | |
| 17 | 2018 | 8 | |
| 18 | 2018 | 7 | |
| 19 | 2019 | 6 | |
| 20 | 2020 | 6 |
About David Robben
David Robben is a scholar working on Epidemiology, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Pulmonary and Respiratory Medicine and Neurology, having authored 27 papers that have together received 521 indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (11 papers), Medical Image Segmentation Techniques (6 papers), Brain Tumor Detection and Classification (5 papers), Cerebrovascular and Carotid Artery Diseases (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Advanced Radiotherapy Techniques (4 papers), Advanced X-ray and CT Imaging (4 papers) and Advanced MRI Techniques and Applications (3 papers). The work is most often cited by research in Radiation (87 citations), Health Informatics (13 citations), Radiology, Nuclear Medicine and Imaging (161 citations), Neurology (47 citations) and Epidemiology (164 citations). David Robben has collaborated with scholars based in Belgium, Switzerland and United States. Frequent co-authors include Frederik Maes, Paul Suetens, Wouter Crijns, Siri Willems, Sandra Nuyts, Julie van der Veen, Stefan Sunaert, Jeroen Bertels, Dirk Vandermeulen and Vincent Thijs. Their work appears in journals such as Stroke, Medical Image Analysis, PLoS ONE, Lecture notes in computer science and Epilepsia.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.